Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Illumination of Artificial Intelligence in Cybersecurity and Forensics

Illumination of Artificial Intelligence in Cybersecurity and Forensics

Misra, Sanjay
Arumugam, Chamundeswari

Paperback

Series: Lecture Notes on Data Engineering and Communications Technol, Book 109

Technology & EngineeringGeneral ComputersComputer Security

ISBN10: 3030934527
ISBN13: 9783030934521
Publisher: Springer Nature
Published: Feb 9 2022
Pages: 372
Weight: 1.20
Height: 0.80 Width: 6.14 Depth: 9.21
Language: English
A Practical Experience Applying Security Audit Techniques in an Industrial Healthcare System.- Feature Extraction and Artificial Intelligence-Based Intrusion Detection Model for a Secure Internet of Things Networks.- Intrusion Detection using Anomaly Detection Algorithm and Snort.- Research Perspective on Digital Forensic Tools and Investigation Process.- Intelligent Authentication Framework for Internet of Medical Things (IoMT).- Parallel Faces Recognition Attendance System with Anti-spoofing using Convolutional Neural Network.- A Systematic Literature Review on Face Morphing Attack Detection (MAD).- Averaging Dimensionality Reduction and Feature Level Fusion for Post-Processed Morphed Face Image Attack Detection.- A Systematic Literature Review on Forensics in Cloud, IoT, AI & Blockchain.- Predictive Forensic Based - Characterization of Hidden Elements in Criminal Networks using Baum-Welch Optimization Technique.- An Integrated IDS using ICA-based Feature Selection and SVM Classification Method.- A Binary Firefly Algorithm Based Feature Selection Method on High Dimensional Intrusion Detection Data.- Graphical Based Authentication Method Combined with City Block Distance for Electronic Payment System.- Authenticated Encryption to Prevent Cyberattacks in images.- Machine Learning in Automated Detection of Ransomware: Scope, Benefits and Challenges.

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